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Sensor-As-A-Service: The Ideal Blockchain Solution?
MARTIN KEENAN | January 27, 2020
We are on a mission to build a global open crowdsourced Internet of Things data network. We managed to cover the city of Amsterdam in 6 weeks. We are on a mission to cover the world in a year.
Article | March 12, 2020
The book Design, Launch, and Scale IoT Services classifies the components of IoT services into technical modules. One of the most important of these is Artificial Intelligence (AI). This article is intended to supplement the book by providing insight into AI and its applications for IoT. After many years in the wilderness, AI is back on the hype curve and will change the world again. Or, will it? AI has always been interesting, but what has changed to justify the current hype? There are several contributing factors. The volumes of data that will be produced by many IoT services suggest that this data cannot be managed by humans with traditional analytics tools. Therefore, AI can offer opportunities for IoT services to extract maximum value from the data. IoT cloud platforms are now offering AI services via APIs and application development tools, making AI more accessible for many IoT services. Now, AI can be incorporated without requiring extensive development or excessive costs.
Article | April 1, 2020
Big data as a term and a field, has been around for some time. It relates to the ways in which we study, analyze and process data sets that are too large to be handled by traditional data-processing software. Data can be described as ‘big’ when it demonstrates the four ‘V’ qualities: veracity (accuracy), velocity (speed), volume (size) and variety (both structured and unstructured). IoT, on the other hand, came much later and relates to devices, data and marrying them together. This area looks at making devices ‘smart’ (anything from watches to kettles) and collecting data about their performance or usage to influence consumer behavior.
Article | March 26, 2020
Modern cars have dozens of computers on board, and they’re not just for running GPS or playing music. Computers monitor and control nearly every system on your vehicle, including steering, brakes, and the engine itself. This is why automotive cyber security is essential.
If a vehicle’s computer systems aren’t properly protected, hackers can steal data or even take control of the vehicle. As you can imagine, that makes automotive cyber security a major concern for consumers, auto companies, and OEMs alike. But what is there to know about automotive cyber security? We’ll explore what cybersecurity in the automotive industry entails and what the biggest threats are to automotive IoT and connected vehicles. We’ll also share some insights from a recent webinar by Sectigo and Mentor Graphics on how to protect connected vehicles from emerging cybersecurity threats.
Article | March 5, 2020
This post will cover various important sensors that are possibilities for an IoT deployment. Sensors are the backbone of any IoT deployment. They gather information and provide software with sensory information it needs to achieve its full potential. In addition, this post will go over considerations and decision-making for selecting sensors in an IoT deployment. Often times, a single sensor is not the best implementation, a suite of sensors can gather more data and even affect behavior for other sensors. In many cases, more than one sensor is necessary to perform the IoT deployment’s function. Sensors are just as critical to every IoT application as the internet. Imagine Alexa or Google Home without a microphone: it wouldn’t work. People wouldn’t be able to interact with the device, or it would need some other kind of sensor such as a keyboard to obtain input from a user.
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